Enhanced Extraction of Activation Time and Contractility From Myocardial Strain Data Using Parameter Space Features and Computational Simulations by Borut Kirn

“…A computational model enables the extraction of two critical myocardial tissue properties: activation time (AT) and contractility (Con) from recorded cardiac strains. …”
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A computational framework for IoT security integrating deep learning-based semantic algorithms for real-time threat response by Ripal Ranpara, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-Zahrani

“…The model is highly computational and energy efficient, incorporating path-breaking Edge Computing and Real-Time Stream Processing paradigms, facilitating low-latency identification of highly dynamic advanced attacks like APTs and DDoS. …”
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The inhibition effect and mechanism of typical hydrocolloids on the formation of heterocyclic amines: A study based on quantum chemical computation analysis by Tiantian Huang, Pin Jiang, Tao Li, Guangyu Li, Yuyu He, Yuezheng Kuang, Yijie Wang

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Dynamical and Computational Analysis of Fractional Korteweg–de Vries-Burgers and Sawada–Kotera Equations in Terms of Caputo Fractional Derivative by N. S. Alharthi

“…They efficiently yield rapidly convergent series-type solutions through an iterative process that requires fewer computations. The Caputo operator, used to express the fractional derivatives in the equations, provides a robust framework for analyzing the behavior of non-integer-order systems. …”
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Development of hybrid robust model based on computational modeling and machine learning for analysis of drug sorption onto porous adsorbents by S. Tasqeeruddin, Shaheen Sultana, Abdulrhman Alsayari

“…The analyses were carried out for separation of drug from a solution by adsorption process where the concentration of drug was obtained in the solution and the adsorbent via computational fluid dynamics (CFD), and the results of concentration distribution were used or machine learning modeling. …”
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Computer aided greenness by design approach for resolving and quantifying Triamterene and Hydrochlorothiazide in pharmaceutical mixtures employing multiscale dynamics simulations by Ahmed Elsonbaty, Khaled Attala, Eman Darweish

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Combined use of long short‐term memory neural network and quantum computation for hierarchical forecasting of locational marginal prices by Xin Huang, Guozhong Liu, Jiajia Huan, Shuxin Luo, Jing Qiu, Feiyan Qin, Yunxia Xu

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Experimental and Computational Studies of a Prototype Combustion Chamber for a Power Steam Boiler with a Vertical Precessing Vortex by Boiko E.A., Semenov I.I., Lebedev K.V., Kulichkin A.P.

“…The purpose of this work is an experimental and computational study and justification of the technology of low-temperature combustion of coal in a combustion chamber with a vertical precessing vortex and the creation of a prototype combustion chamber for a power steam boiler. …”
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Low Voltage AC Series Arc Fault Detection Method Based on Approximate Entropy for Low Computational Performance Device by Kyoung-Tak Kim, Min-Ho Yoon, Chan-Muk Park, Joung-Hu Park, Sung-Hun Lim

“…The proposed algorithm utilizes Approximate Entropy as a key feature. However, computing Approximate Entropy within a limited time is constrained by the computational performance of commonly used conventional microcontrollers, which restricts the number of input data points that can be processed. …”
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Influence of tongue volume, oral cavity volume and their ratio on upper airway: A cone beam computed tomography study by S.S. Rana, O.P. Kharbanda, B. Agarwal

“…Background: Our study aimed to measure the tongue volume (TV), oral cavity volume (OCV), and their ratio (TV/OCV) and correlate with upper airway using cone-beam computed tomography (CBCT). Method: The volume of oral cavity, tongue and upper airway were obtained by the manual process of segmentation of CBCT data of 15 subjects. …”
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Implementasi Arsitektur Web Server Cluster Menggunakan Single Board Computer untuk Menunjang Kebutuhan High Availability System by Roisul Setiawan, Dany Primanita Kartikasari, Bayu Rahayudi

“…Untuk mengatasi kendala infrastruktur, penelitian ini mengusulkan untuk membangun arsitektur web server cluster yang dapat menunjang kebutuhan high availability system menggunakan single board computer.  Komponen arsitektur terdiri dari dua tier yaitu: frontend dan backend. …”
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Design and application of human-computer interaction visual communication platform for Guandong culture by integrating RF and light GBM algorithm by Qiao Wu, Ying Jin

“…Light gradient boosting machine performed excellently and had high computational efficiency when processing large-scale data through an efficient gradient boosting framework. …”
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A comprehensive review of AI-based brain-computer interface with prefrontal cortex and sensory-motor rhythms systemization for rehabilitation by Anna Latha M, Ramesh R

“…Background: Brain–Computer Interface (BCI) is a prominent sector for multidisciplinary research, since advances in neuroscience and neurorehabilitation strengthen the brain's capacity for communication and interaction with its surroundings. …”
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Revolutionizing Epithelial Differentiability Analysis in Small Airway-on-a-Chip Models Using Label-Free Imaging and Computational Techniques by Shiue-Luen Chen, Ren-Hao Xie, Chong-You Chen, Jia-Wei Yang, Kuan-Yu Hsieh, Xin-Yi Liu, Jia-Yi Xin, Ching-Kai Kung, Johnson H. Y. Chung, Guan-Yu Chen

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Evaluation of porphyrin molecules as effective corrosion inhibitors for copper alloy in sulfuric acid using both experimental and computational approaches by Metwally Abdallah, Majda Alfakeer, Rasha N Felaly, Abdulaziz M. Almohyawi, Jabir H. Al-Fahemi, Salih S. Al-Juaid, Doaa F. Seyam, Elsayed M. Mabrouk, Kamal A. Soliman

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Computer-assisted medical history taking prior to patient consultation in the outpatient care setting: a prospective pilot project by Roman Hauber, Maximilian Schirm, Mirco Lukas, Clemens Reitelbach, Jonas Brenig, Margret Breunig, Susanne Brenner, Stefan Störk, Frank Puppe

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4 Pattern Recognition for Healing Burns to Compute Evidence: Space Syntax and Machine Learning Analysis of Burns Center Karachi by Javaria Manzoor Shaikh, JaeSeung Park

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Reduced order data driven framework for computation of the unsteady lid-driven cavity flow using dynamic mode decomposition by Karim Mazaheri, Mohammad Kazem Moayyedi, Mohammad Hadi Dehghan

“…They were used to achieve reduced-order models for predicting dynamic behavior of the flow field. Validation of CFD computation was assessed, and independence of the DMD modes from the data collection process was investigated. …”
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Sensor-free, Camera-only: Low-cost multi-angle CPR skill assessments method based on computer vision by Longxin Liu, Cen Wu, Jiafeng Liu, Jiayi Yu, Meng Bi, Hong Yu

“…The LCSG-YOLO approach offers a practical, computer vision-based solution for CPR training and assessment, potentially expanding CPR education in resource-limited environments. …”
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Using hierarchical drift diffusion models to elucidate computational mechanisms of reduced reward sensitivity in adolescent major depressive disorder by Lei Shen, Ya-xin Hu, Qin-yu Lv, Zheng-hui Yi, Jing-bo Gong, Chao Yan

“…Bayesian hierarchical drift diffusion modeling (HDDM) was employed to determine changes in reward sensitivity and computational process during decision-making. Results Adolescents with depression showed a trend toward reduced response bias compared to those in HC. …”
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